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Iβm currently an assistant professor in the School of Computer Science and Engineering at Beihang University (BUAA). Before that, I received my Ph.D. degree from Beihang University, under the supervision of Prof. Jianxin Li. Further before, I obtained the B.S. degree from Xidian University. My research interests include Data Mining, Deep Graph Learning and Trustworthy AI. Please feel free to send me an email if interested to discuss or work together. |
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[2024.02] One paper is accepted by COLING 2024. [2024.01] One paper is accepted by WWW 2024. [2023.12] We won the Excellence Award in Pretrained Model-based Community Detection and Fraudulent Group Mining Competition @ICDM 2023. π [2023.12] One paper is accepted by SDM 2024. [2023.12] Two papers are accepted by AAAI 2024. [2023.09] Two papers are accepted by NeurIPS 2023. [2023.09] I was grateful to be awared 2023 ACM China Beijing Doctoral Dissertation Award. π [2023.06] One paper is accepted by PR. [2023.04] One paper is accepted by KAIS. [2023.04] Our hyperIMBA paper was selected as the WWW 2023 Spotlight Paper (16/1891) π [2023.01] One paper is accepted by WWW 2023. [2023.01] One paper is accepted by IEEE TKDE. [2023.01] One paper is accepted by IEEE TPAMI |
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Dynamic Graph Information Bottleneck
Haonan Yuan, Qingyun Sun*, Xingcheng Fu, Cheng Ji, Jianxin Li The Web Conference 2024. WWW 2024. [Paper] [Code] |
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ReGCL: Rethinking Message Passing in Graph Contrastive Learning
Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li Thirty-Eighth AAAI Conference on Artificial Intelligence. AAAI 2024. [Paper] [Code] |
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Poincar\'e Differentially Private for Hierarchy-aware Graph Emebedding
Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu Thirty-Eighth AAAI Conference on Artificial Intelligence. AAAI 2024. [Paper] [Code] |
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MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies
Ziqi Yuan, Qingyun Sun, Haoyi Zhou, Zukun Zhu, Jianxin Li SIAM International Conference on Data Mining. SDM 2024. [Paper] [Code] |
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Few-Shot Multimodal Named Entity Recognition based on Mutlimodal Causal Intervention Graph
Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun*, Ke Jiang,Cheng Ji, Jianxin Li International Conference on Computational Linguistics. COLING 2024. [Paper] [Code] |
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MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
Feihong Lu, Weiqi Wang, Yangyifei Luo, Ziqin Zhu, Qingyun Sun, Baixuan Xu, Haochen Shi, Shiqi Gao, Qian Li, Yangqiu Song, Jianxin Li preprint. [Paper] [Code] |
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Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining
Jianxin Li, Qingyun Sun, Hao Peng, Beining Yang, Jia Wu, Phillp S. Yu IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE TPAMI, 2023. [Paper] [Code] |
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Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu 37th AAAI Conference on Artificial Intelligence. AAAI 2023. [Paper] [Code] |
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Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization
Haonan Yuan, Qingyun Sun*, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li Thirty-seventh Conference on Neural Information Processing Systems. NeurIPS 2023. [Paper] [Code] |
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Does Graph Distillation See Like Vision Dataset Counterpart?
Beining Yang, Kai Wang, Qingyun Sun#, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li Thirty-seventh Conference on Neural Information Processing Systems. NeurIPS 2023. [Paper] [Code] |
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Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li The Web Conference. WWW 2023. (Spotlight) [Paper] [Code] |
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A Robust and Generalized Framework for Adversarial Graph Embedding
Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He IEEE Transactions on Knowledge and Data Engineering. IEEE TKDE, 2023 [Paper] [Code] |
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Higher-Order Memory Guided Temporal Random Walk for Dynamic Heterogeneous Network Embedding
Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li Pattern Recognition. PR, 2023 [Paper] [Code] |
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Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu ACM International Conference on Web Search and Data Mining. WSDM 2023. [Paper] [Code] |
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Adaptive Curvature Exploration Geometric Graph Neural Network
Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu Knowledge and Information Systems. KAIS, 2023. [Paper] [Code] |
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Graph Structure Learning with Variational Information Bottleneck
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu 36th AAAI Conference on Artificial Intelligence. AAAI 2022. [Paper] [Code] |
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Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu 31st ACM International Conference on Information and Knowledge Management. CIKM 2022. (Best Paper Honorable Mention) [Paper] [Code] |
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Automating DBSCAN via Deep Reinforcement Learning
Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu 31st ACM International Conference on Information and Knowledge Management. CIKM 2022. [Paper] [Code] |
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Curvature Graph Generative Adversarial Networks
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng The Web Conference. WWW 2022. [Paper] [Code] |
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AIQoSer: Building the efficient Inference-QoS for AI Services
Jianxin Li, Tianchen Zhu, Haoyi Zhou, Qingyun Sun, Chunyang Jiang, Shuai Zhang, Chunming Hu IEEE/ACM International Symposium on Quality of Service. IWQoS 2022. (Best Paper Award) [Paper] |
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Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li 22nd IEEE International Conference on Data Mining. ICDM 2022. [Paper] [Code] |
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Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie ACM Transactions on Web. ACM TWEB, 2022. [Paper] [Code] |
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SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He The Web Conference. WWW 2021. (Most Influential WWW Papers) [Paper] [Code] |
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ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu 21th IEEE International Conference on Data Mining. ICDM 2021. (Best Paper Candidate) [Paper] [Code] |
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Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He 20th IEEE International Conference on Data Mining. ICDM 2020. [Paper] |
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